Kerstin Hammernik

78 papers A 1B 1Misc 1Journal 43Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI. Medical Image Anal. Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalán, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel
2025	J	`jnl`	Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imaging. Comput. Medical Imaging Graph. Siying Xu, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2025	J	`jnl`	Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning. CoRR Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik, Elisa Saks, Lina Felsner, Kilian Weiss, Christine Preibisch, Julia A. Schnabel
2025	J	`jnl`	PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI. CoRR Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalán, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel
2025	J	`jnl`	Self-Supervised Feature Learning for Cardiac Cine MR Image Reconstruction. IEEE Trans. Medical Imaging Siying Xu, Marcel Früh, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2025	—	`conf`	Self-supervised Motion-Compensated Reconstruction for Cardiac Cine MRI. GRAIL/RIME@MICCAI Siying Xu, Aya Ghoul, Kerstin Hammernik, Jens Kübler, Patrick Krumm, Andreas Lingg, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2025	—	`conf`	Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging. IPMI (1) Wenqi Huang, Veronika Spieker, Siying Xu, Gastão Cruz, Claudia Prieto, Julia A. Schnabel, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert
2024	J	`jnl`	A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. IEEE Trans. Biomed. Eng. Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2024	J	`jnl`	Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging. CoRR Siying Xu, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024	J	`jnl`	Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging. IEEE Trans. Medical Imaging Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024	J	`jnl`	Attention-aware non-rigid image registration for accelerated MR imaging. CoRR Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024	J	`jnl`	Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review. IEEE Trans. Medical Imaging Veronika Spieker, Hannah Eichhorn, Kerstin Hammernik, Daniel Rueckert, Christine Preibisch, Dimitrios C. Karampinos, Julia A. Schnabel
2024	—	`conf`	Direct Cardiac Segmentation from Undersampled K-Space using Transformers. ISBI Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
2024	J	`jnl`	Direct Cardiac Segmentation from Undersampled K-space Using Transformers. CoRR Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
2024	J	`jnl`	Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging. CoRR Aya Ghoul, Kerstin Hammernik, Andreas Lingg, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024	J	`jnl`	Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation. IEEE Trans. Medical Imaging Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2024	—	`conf`	Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging. Bildverarbeitung für die Medizin Patrick T. Haft, Wenqi Huang, Gastão Cruz, Daniel Rueckert, Veronika A. Zimmer, Kerstin Hammernik
2024	—	`conf`	Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI. MICCAI (7) Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik, Elisa Saks, Kilian Weiss, Christine Preibisch, Julia A. Schnabel
2024	J	`jnl`	Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. CoRR Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rückert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel
2024	—	`conf`	Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. MICCAI (7) Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel
2024	J	`jnl`	Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging. CoRR Wenqi Huang, Veronika Spieker, Siying Xu, Gastão Cruz, Claudia Prieto, Julia A. Schnabel, Kerstin Hammernik, Thomas Kustner, Daniel Rueckert
2024	J	`jnl`	Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI. Medical Image Anal. Jiazhen Pan, Manal Hamdi, Wenqi Huang, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert
2023	J	`jnl`	Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review. CoRR Veronika Spieker, Hannah Eichhorn, Kerstin Hammernik, Daniel Rueckert, Christine Preibisch, Dimitrios C. Karampinos, Julia A. Schnabel
2023	—	`conf`	Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. MICCAI (10) Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
2023	J	`jnl`	Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling. CoRR Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
2023	—	`conf`	ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. DGM4MICCAI Veronika Spieker, Wenqi Huang, Hannah Eichhorn, Jonathan K. Stelter, Kilian Weiss, Veronika A. Zimmer, Rickmer F. Braren, Dimitrios C. Karampinos, Kerstin Hammernik, Julia A. Schnabel
2023	J	`jnl`	ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. CoRR Veronika Spieker, Wenqi Huang, Hannah Eichhorn, Jonathan K. Stelter, Kilian Weiss, Veronika A. Zimmer, Rickmer F. Braren, Dimitrios C. Karampinos, Kerstin Hammernik, Julia A. Schnabel
2023	—	`conf`	NISF: Neural Implicit Segmentation Functions. MICCAI (4) Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert
2023	—	`conf`	Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging. IPMI Wenqi Huang, Hongwei Bran Li, Jiazhen Pan, Gastão Cruz, Daniel Rueckert, Kerstin Hammernik
2023	—	`conf`	Physics-Aware Motion Simulation For T2*-Weighted Brain MRI. SASHIMI@MICCAI Hannah Eichhorn, Kerstin Hammernik, Veronika Spieker, Samira M. Epp, Daniel Rueckert, Christine Preibisch, Julia A. Schnabel
2023	J	`jnl`	Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. IEEE Signal Process. Mag. Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2023	—	`conf`	Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. UNSURE@MICCAI Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis
2023	J	`jnl`	Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. CoRR Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis
2023	J	`jnl`	Reconstruction-driven motion estimation for motion-compensated MR CINE imaging. CoRR Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2023	—	`conf`	The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning. PIPPI@MICCAI Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal
2023	J	`jnl`	The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning. CoRR Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal
2023	—	`conf`	Towards Generalised Neural Implicit Representations for Image Registration. DGM4MICCAI Veronika A. Zimmer, Kerstin Hammernik, Vasiliki Sideri-Lampretsa, Wenqi Huang, Anna Reithmeir, Daniel Rueckert, Julia A. Schnabel
2022	J	`jnl`	A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. CoRR Inês Prata Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2022	J	`jnl`	Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. IEEE Trans. Medical Imaging Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2022	J	`jnl`	Differentially private training of residual networks with scale normalisation. CoRR Helena Klause, Alexander Ziller, Daniel Rueckert, Kerstin Hammernik, Georgios Kaissis
2022	—	`conf`	Embedding Gradient-Based Optimization in Image Registration Networks. MICCAI (6) Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert
2022	—	`conf`	Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging. MICCAI (6) Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2022	J	`jnl`	Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging. CoRR Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2022	—	`conf`	Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data. PRIME@MICCAI Moritz Binzer, Kerstin Hammernik, Daniel Rueckert, Veronika A. Zimmer
2022	J	`jnl`	Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging. CoRR Wenqi Huang, Hongwei Li, Gastão Cruz, Jiazhen Pan, Daniel Rueckert, Kerstin Hammernik
2022	J	`jnl`	Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. CoRR Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2021	J	`jnl`	Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. CoRR Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2021	A	`conf`	Bias Field Robustness Verification of Large Neural Image Classifiers. BMVC Patrick Henriksen, Kerstin Hammernik, Daniel Rueckert, Alessio Lomuscio
2021	J	`jnl`	Complex-valued deep learning with differential privacy. CoRR Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kerstin Hammernik, Daniel Rueckert, Georgios Kaissis
2021	—	`conf`	Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. MICCAI (3) Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
2021	J	`jnl`	Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. CoRR Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
2021	—	`conf`	Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation. MLMIR@MICCAI Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2021	—	`conf`	Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll
2021	J	`jnl`	GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration. CoRR Huaqi Qiu, Kerstin Hammernik, Chen Qin, Daniel Rueckert
2021	—	`conf`	Learning Diffeomorphic and Modality-invariant Registration using B-splines. MIDL Huaqi Qiu, Chen Qin, Andreas Schuh, Kerstin Hammernik, Daniel Rueckert
2021	—	`conf`	Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction. ACSCC Kerstin Hammernik, Jiazhen Pan, Daniel Rueckert, Thomas Küstner
2021	—	`conf`	Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. STACOM@MICCAI Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2021	J	`jnl`	Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data. CoRR Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2021	—	`conf`	The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. STACOM@MICCAI Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
2021	J	`jnl`	The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. CoRR Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
2020	J	`jnl`	CG-SENSE revisited: Results from the first ISMRM reproducibility challenge. CoRR Oliver Maier, Steven H. Baete, Alexander Fyrdahl, Kerstin Hammernik, Seb Harrevelt, Lars Kasper, Agah Karakuzu, Michael Loecher, Franz Patzig, Ye Tian, Ke Wang, Daniel Gallichan, Martin Uecker, Florian Knoll
2020	J	`jnl`	Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. CoRR Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert
2020	J	`jnl`	Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2020	—	`conf`	Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk. APSIPA Thomas Küstner, Jiazhen Pan, Christopher Gilliam, Haikun Qi, Gastão Cruz, Kerstin Hammernik, Bin Yang, Thierry Blu, Daniel Rueckert, René M. Botnar, Claudia Prieto, Sergios Gatidis
2019	J	`jnl`	Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. CoRR Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2019	—	`conf`	Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions. MLMIR@MICCAI Patricia M. Johnson, Matthew J. Muckley, Mary Bruno, Erich Kobler, Kerstin Hammernik, Thomas Pock, Florian Knoll
2019	—	`ch.`	Variationsnetzwerke für die medizinische Bildrekonstruktion. Ausgezeichnete Informatikdissertationen Kerstin Hammernik
2019	J	`jnl`	Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction. CoRR Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik
2019	J	`jnl`	Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction. CoRR Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert
2018	—	`conf`	Sparse-View CT Reconstruction Using Wasserstein GANs. MLMIR@MICCAI Franz Thaler, Kerstin Hammernik, Christian Payer, Martin Urschler, Darko Stern
2018	Misc	`conf`	Variational Deep Learning for Low-Dose Computed Tomography. ICASSP Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo
2017	—	`conf`	A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction. Bildverarbeitung für die Medizin Kerstin Hammernik, Tobias Würfl, Thomas Pock, Andreas K. Maier
2017	J	`jnl`	Learning a Variational Network for Reconstruction of Accelerated MRI Data. CoRR Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll
2017	—	`conf`	Trainable Regularization for Multi-frame Superresolution. GCPR Teresa Klatzer, Daniel Soukup, Erich Kobler, Kerstin Hammernik, Thomas Pock
2017	—	`conf`	Variational Networks: Connecting Variational Methods and Deep Learning. GCPR Erich Kobler, Teresa Klatzer, Kerstin Hammernik, Thomas Pock
2016	J	`jnl`	A multi-center milestone study of clinical vertebral CT segmentation. Comput. Medical Imaging Graph. Jianhua Yao, Joseph E. Burns, Daniel Forsberg, Alexander Seitel, Abtin Rasoulian, Purang Abolmaesumi, Kerstin Hammernik, Martin Urschler, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Isaac Castro-Mateos, Jose M. Pozo, Alejandro F. Frangi, Ronald M. Summers, Shuo Li
2016	B	`conf`	Learning joint demosaicing and denoising based on sequential energy minimization. ICCP Teresa Klatzer, Kerstin Hammernik, Patrick Knöbelreiter, Thomas Pock
2015	—	`conf`	Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours. CSI@MICCAI Martin Urschler, Kerstin Hammernik, Thomas Ebner, Darko Stern